Optimal Dental Age Estimation Practice in United Arab Emirates’ Children

Authors

  • Salem Altalie M.Sc.,

    1. Forensic Odontology Department, School of Dentistry, Faculty of Medicine, Katholieke Universiteit Leuven, Leuven, Belgium
    2. Medical Examiner Office, Abu Dhabi Police GHQ, Ministry of Interior, Abu Dhabi, United Arab Emirates
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  • Patrick Thevissen Ph.D.,

    Corresponding author
    1. Forensic Odontology Department, School of Dentistry, Faculty of Medicine, Katholieke Universiteit Leuven, Leuven, Belgium
    • Additional information and reprint requests:

      Patrick Thevissen, Ph.D.

      Forensic Odontology Department

      School of Dentistry

      Faculty of Medicine

      Katholieke Universiteit Leuven

      Kapucijnenvoer 7

      Leuven 3000

      Belgium

      E-mail: denthepa@telenet.be

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  • Steffen Fieuws Ph.D.,

    1. I-BioStat, Katholieke Universiteit Leuven, Leuven, Belgium
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  • Guy Willems Ph.D.

    1. Forensic Odontology Department, School of Dentistry, Faculty of Medicine, Katholieke Universiteit Leuven, Leuven, Belgium
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  • Presented at the 65th Annual Meeting of the American Academy of Forensic Sciences, February 18–23, 2013, Washington, DC.

Abstract

The aim of the study was to detect whether the Willems model, developed on a Belgian reference sample, can be used for age estimations in United Arab Emirates (UAE) children. Furthermore, it was verified that if added third molars development information in children provided more accurate age predictions. On 1900 panoramic radiographs, the development of left mandibular permanent teeth (PT) and third molars (TM) was registered according the Demirjian and the Kohler technique, respectively. The PT data were used to verify the Willems model and to develop a UAE model and to verify it. Multiple regression models with PT, TM, and PT + TM scores as independent and age as dependent factor were developed. Comparing the verified Willems- and the UAE model revealed differences in mean error of −0.01 year, mean absolute error of 0.01 year and root mean squared error of 0.90 year. Neglectable overall decrease in RMSE was detected combining PM and TM developmental information.

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